Python graph visualization using Jupyter & KeyLines
Duncan Grant Sales Engineer
8th January, 2018 | 5 min read
Sharing intelligence is a key part of every graph analysis workflow. Once your connected data has been explored,...
Visualizing JanusGraph: the new TitanDB fork
Andrew Disney Marketing Director
4th December, 2017 | 5 min read
A quick history lesson Back in February 2015, Aurelius – the organization behind the Titan graph database...
Enjoy the Vue (integration) with KeyLines
Christian Miles VP of Sales
13th November, 2017 | 6 min read
This blog explores the Vue JavaScript framework, and how it can help you build a KeyLines graph visualization...
Investigating human trafficking with graph visualization
Christian Miles VP of Sales
29th August, 2017 | 6 min read
Using data from online adverts, we explore a graph visualization-led approach to understanding human trafficking...
Power interactive graph applications with ArangoDB
Andrew Disney Marketing Director
7th August, 2017 | 4 min read
This post was published some time ago. It’s still useful, but it’s worth checking out this page on...
Visualizing restricted substances for REACH compliance
Dan Williams Head of Product Management
13th June, 2017 | 6 min read
Using connected data visualization techniques to manage supply chain risk, ensure restricted substance compliance...
Visualizing crime data at scale
Christian Miles VP of Sales
7th June, 2017 | 6 min read
We take a Neo4j graph database of real-life crime incidents in Boston and apply graph visualization techniques to...
Make sense of cyber threats with graph technologies
Andrew Disney Marketing Director
12th May, 2017 | 5 min read
This post explores how KeyLines graph visualization simplifies complex Malware networks, making post-attack...
Angular graph visualization with KeyLines
Dan Williams Head of Product Management
8th May, 2017 | 4 min read
How to get started with KeyLines and Angular. Build your own advanced graph visualization app using the KeyLines...